Research Article
Analysis of Rear-End Crash on Thai Highway: Decision Tree Approach
Table 1
Comparison with others studies in analysis of rear-end crash field.
| Studies/model | At-fault/not-at-fault | Fatal injury | Comparison of two models | Raised issues |
| This study | ✓ | ✓ | ✓ | Case accidents in Thailand; comparison of the result of two model. | Yan et al. [10] | ✓ | | | Rear-end crash at signalized intersections. | Yan and Radwan [9] | ✓ | | | Model#1: Rear-end vs Nonrear-end, Model#2: At-fault/not-at-fault. | Chandraratna and Stamatiadis [7] | ✓ | | | Evaluation of not-at-fault assumption. | Meng and Qu [20] | ✓ | | | At Urban road tunnels. | Ma and Yan [5] | ✓ | | | Focused on age of driver. | Weng et al. [23] | ✓ | | | On work zone. | Chen et al. [21] | | ✓ | | Hybrid approach. | Chen et al. [22] | | ✓ | | Hybrid classifier. | Sullivan and Flannagan [11] | | ✓ | | Lighting conditions. | Joon-Ki et al. [40] | ✓ | | | Probability of freeway rear-end crash occurrence. | Das and Abdel-Aty [30] | ✓ | ✓ | ✓ | Genetic programing approach, rear-end crash in Florida. |
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Note: At-fault or not-at-fault driver are assumed related to the rear-end crash frequency.
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